ece 695 numerical simulations lecture 36:...
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ECE 695Numerical Simulations
Lecture 36: Addressing Grand Challenges with Simulations
Prof. Peter Bermel
April 14, 2017
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No Yes
Yes
No
Pure BasicResearch
(Bohr)
Pure AppliedResearch(Edison)
Research is inspired by:Consideration of use?
Quest forFundamentalUnderstanding?
Adapted from Pasteur’s Quadrant: Basic Science and Technological Innovation, Donald E. Stokes 1997
R&D is increasingly performed in “Pasteur’s Quadrant”
FormerUniversityPresidents
(Vest)
Use-inspiredBasic Research
(Pasteur)
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Grand Challenges of Engineering
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• Proposed by a committee of amazingly accomplished and innovative people.
• Extremely challenging and important.
• Deemed to be doable in the next few decades.
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EnergyEnvironment
Global WarmingSustainability
Improve Medicine andHealthcare Delivery
Reducing Vulnerability toHuman and Natural Threats
Expand and EnhanceHuman Capability
And Joy
www.engineeringchallenges.org
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Make Solar Energy Economical
• Key Challenges:– Novel earth-abundant materials
– Reliable, low-cost packaging techniques
– Energy storage (daily and seasonal)
• How simulations can help:– Provide predictions of performance of realistic, novel PV materials
(e.g., using DFT)
– Predict and optimize lifetime energy production (e.g., using ADEPT)
– Design electrolyzers and fuel cells (e.g., using FEM multi-physics)
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Lewis, N.S. 2007. Toward Cost-Effective Solar Energy Use. Science 315(5813): 798-801. DOI: 10.1126/science.1137014
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Engineer Better Medicines
• Key Challenges:
– Diagnose and treat people based on individual differences, known as “personalized medicine.”
– Create inexpensive and rapid diagnostic devices such as gene chips and sensors able to detect minute amounts of chemicals in the blood
• How simulations can help:
– Design and optimize sensitive biological sensors
– Reverse-engineering infectious disease attacks on human DNA
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L.J. Lesko, “Personalized Medicine: Elusive Dream or Imminent Reality?” Clinical Pharmacology & Therapeutics 81 (June 2007), pp. 807-816.
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Reverse-Engineer the Brain
• Key Challenges:
– Understanding how the brain performs computation and storage
– Applying neurological computing to repair brain injuries
• How simulations can help:
– Simulate neurological electrical and chemical signal propagation (e.g., using drift-diffusion methods)
– Predict impact of neural prostheses, artificial retinas, electro-ceuticals, etc.
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Hapgood, F., “Reverse-Engineering the Brain,” MIT News Magazine (July 1, 2006).
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Secure Cyberspace
• Key Challenges:– Prevent hackers from shutting down communication, transportation,
and other critical systems
– Taking more pro-active approaches than frequent patches
• How simulations can help:– Authenticate hardware, software, and data in computer systems
– Verifying user identities using biometric technologies
– Programming languages that have security protection built in
– better security for data flowing over the internet
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Harrison, K. et al., “Security Through Uncertainty,” Network Security (February 2007), pp. 4-7.
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Provide Access to Clean Water
• Key Challenges:
– Removing natural and manmade toxins from freshwater
– Desalinating water at a reasonable cost
• How simulations can help:
– Designing nanofiltration membranes (e.g., using DFT)
– Designing low-cost, renewable desalination plants
• Nano-osmosis (e.g., using molecular dynamics)
• Multi-stage flash powered by solar heat (e.g., using MEEP)
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Gleick, Peter H. The world's water volume 8: The biennial report on freshwater resources. Vol. 8. Island Press, 2014.
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Provide Energy From Fusion• Barriers to Success:
– materials that can withstand the assaults from products of the fusion reaction
– confining/removing radioactivity induced by neutrons
– preventing releases of radioactive tritium fuel
– Better superconductors and vacuum systems
• How simulations can help:– ab initio materials modeling (e.g., tight-binding, DFT)
– Drift-diffusion modeling of radioactive ion transport
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Magaud, P., G. Marbach, and I. Cook. 2004. Nuclear Fusion Reactors. Pp. 365-381 in Encyclopedia of Energy, Volume 4, ed. C.J. Cleveland. Elsevier Science: Oxford, U.K. DOI: 10.1016/B0-12-176480-X/00305-3.
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Enhance Virtual Reality• Key Challenges:
– Generating optically realistic environments at high frame rates
– Reproduce realistic feelings of touch and motion
• How simulations can help:
– The purest simulation challenge!
– Ray-tracing and transfer matrices can help with efficiently modeling optics in real-time
– Providing touch feedback via electrorheological fluids, which alter their thickness when exposed to electric fields of different strengths
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Doug A. Bowman and Ryan P. McMahan, “Virtual Reality: How Much Immersion Is Enough?” Computer 40 (July 2007).
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Engineer the Tools of Scientific Discovery
• Key Challenges:– biochemical methods of probing the body’s cellular and molecular
machinations– sustainable sources of food, water, and oxygen for space exploration– detecting infrared and gravitational waves from distant galaxies
• How simulations can help:– New mathematical and computing methods, incorporated into the
emerging discipline of “systems biology,” may show the way to better treatments of disease and better understanding of healthy life
– Synthetic biology may enable the design of entirely novel biological chemicals and systems for food, water, and oxygen
– Systematically reducing noise in detectors susceptible to the environment
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Next Class
• Next time, we will discuss our presentation program and evaluation criteria for the last week of classes
• Note that there’s no class next Wednesday & Friday (Apr. 19 & 21)
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